基于深度学习的宫颈癌分期实验数据

一是基于深度学习的宫颈癌分期实验数据及其标注，通过设备拍摄人体及算法处理采集，采集地点中国医学科学院肿瘤医院及北京科技大学，采集时间2019年至2020年。基于本数据集，使用人工智能对医疗影像进行图像分析，开发基于深度学习的宫颈癌分期系统。数据集包括PET-CT图像及标注。标注指向各个图像文件名称。本数据集内部图像及标注名称为整体。This dataset firstly includes experimental data and corresponding annotations for deep learning-based cervical cancer staging. These data were collected via human medical imaging using specialized equipment and algorithmic processing at the Cancer Hospital, Chinese Academy of Medical Sciences and University of Science and Technology Beijing between 2019 and 2020. Based on this dataset, artificial intelligence can be employed to perform image analysis on medical images for developing deep learning-powered cervical cancer staging systems. The dataset contains PET-CT images and their annotations, where each annotation is associated with the filename of an individual corresponding image file. All images and their annotation names within this dataset form an integrated whole.